Some Applications of Operations Research in Complex and Stochastic Healthcare Systems

Abstract

In many healthcare systems, the environments are complex and highly dynamic, where activities and events are uncertain. Traditional deterministic models, therefore, may not be able to provide effective solutions for practical use. In combination with optimization, stochastic modeling is an option to take uncertainty into account in healthcare decision-making problems. In this seminar, I will share my experience in solving some stochastic problems in healthcare systems. Real-world examples, such as emergency department operations, medical appointment scheduling, and infectious disease control, will be presented to illustrate the ideas.